期刊论文详细信息
BMC Psychiatry
Cerebral metabolism in major depressive disorder: a voxel-based meta-analysis of positron emission tomography studies
Elvira Bramon1  Shenxun Shi2  Anirban Dutt3  Yifeng Xu2  Yiyun Cai2  Liang Su3 
[1] Mental Health Sciences Unit & Institute of Cognitive Neuroscience, University College London, London, UK;Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China;Department of Psychosis studies, Institute of Psychiatry, King’s College London, De Crespigny Park, London SE5 8AF, UK
关键词: Activation likelihood estimation;    Meta-analysis;    Positron emission tomography;    Major depressive disorder;   
Others  :  1092278
DOI  :  10.1186/s12888-014-0321-9
 received in 2014-07-22, accepted in 2014-11-03,  发布年份 2014
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【 摘 要 】

Background

Major depressive disorder (MDD) is a common mental illness with high lifetime prevalence close to 20%. Positron emission tomography (PET) studies have reported decreased prefrontal, insular and limbic cerebral glucose metabolism in depressed patients compared with healthy controls. However, the literature has not always been consistent. To evaluate current evidence from PET studies, we conducted a voxel-based meta-analysis of cerebral metabolism in MDD.

Method

Data were collected from databases including PubMed and Web of Science, with the last report up to April 2013. Voxel-based meta-analyses were performed using the revised activation likelihood estimation (ALE) software.

Results

Ten whole-brain-based FDG-PET studies in MDD were included in the meta-analysis, comprising 188 MDD patients and 169 healthy controls. ALE analyses showed the brain metabolism in bilateral insula, left lentiform nucleus putamen and extra-nuclear, right caudate and cingulate gyrus were significantly decreased. However, the brain activity in right thalamus pulvinar and declive of posterior lobe, left culmen of vermis in anterior lobe were significantly increased in MDD patients.

Conclusion

Our meta-analysis demonstrates the specific brain regions where possible dysfunctions are more consistently reported in MDD patients. Altered metabolism in insula, limbic system, basal ganglia, thalamus, and cerebellum and thus these regions are likely to play a key role in the pathophysiology of depression.

【 授权许可】

   
2014 Su et al.; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Fusar-Poli P, Allen P, McGuire P: Neuroimaging studies of the early stages of psychosis: A critical review. Eur Psychiatr 2008, 23:237-244.
  • [2]Linden DEJ: How psychotherapy changes the brain - the contribution of functional neuroimaging. Mol Psychiatry 2006, 11:528-538.
  • [3]Mayberg HS, Brannan SK, Mahurin RK, Jerabek PA, Brickman JS, Tekell JL, Silva JA, McGinnis S, Glass TG, Martin CC, Fox PT: Cingulate function in depression: a potential predictor of treatment response. Neuroreport 1997, 8:1057-1061.
  • [4]SU Liang SS-x, Yi-hui GUAN, Zuo C, Zhang M: Analysis of brain position emission tomography mapping in geriatric depression patients. Chin J Psychiatr 2006, 39:81-84.
  • [5]Drevets WC: Functional anatomical abnormalities in limbic and prefrontal cortical structures in major depression. Progress in brain research 2000, 126:413-431.
  • [6]Dunn RT, Kimbrell TA, Ketter TA, Frye MA, Willis MW, Luckenbaugh DA, Post RM: Principal components of the Beck Depression Inventory and regional cerebral metabolism in unipolar and bipolar depression. Biol Psychiatry 2002, 51:387-399.
  • [7]Kimbrell TA, Ketter TA, George MS, Little JT, Benson BE, Willis MW, Herscovitch P, Post RM: Regional cerebral glucose utilization in patients with a range of severities of unipolar depression. Biological Psychiatry 2002, 51:237-252.
  • [8]Fitzgerald PB, Laird AR, Maller J, Daskalakis ZJ: A meta-analytic study of changes in brain activation in depression. Human Brain Mapping 2008, 29:683-695.
  • [9]Delaveau P, Jabourian M, Lemogne C, Guionnet S, Bergouignan L, Fossati P: Brain effects of antidepressants in major depression: A meta-analysis of emotional processing studies. J Affect Disord 2011, 130:66-74.
  • [10]Sacher J, Neumann J, Funfstuck T, Soliman A, Villringer A, Schroeter ML: Mapping the depressed brain: A meta-analysis of structural and functional alterations in major depressive disorder. J Affect Disord 2011, 140:142-148.
  • [11]Bolus NE, George R, Washington J, Newcomer BR: PET/MRI: the blended-modality choice of the future? J Nucl Med Tech 2009, 37:63-71. quiz 72-63
  • [12]Moher D, Liberati A, Tetzlaff J, Altman DG: Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med 2009, 151:264-269. W264
  • [13]Chen R, Copeland JR, Wei L: A meta-analysis of epidemiological studies in depression of older people in the People's Republic of China. Int J Geriatr Psychiatr 1999, 14:821-830.
  • [14]Su L, Cai Y, Wang L, Shi S: Various effects of antipsychotics on p50 sensory gating in Chinese schizophrenia patients: a meta-analysis. Psychiatria Danubina 2012, 24:44-50.
  • [15]Chen C-H, Suckling J, Lennox BR, Ooi C, Bullmore ET: A quantitative meta-analysis of fMRI studies in bipolar disorder. Bipolar Disorders 2011, 13:1-15.
  • [16]Eickhoff SB, Laird AR, Grefkes C, Wang LE, Zilles K, Fox PT: Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: a random-effects approach based on empirical estimates of spatial uncertainty. Hum Brain Mapp 2009, 30:2907-2926.
  • [17]Diener C, Kuehner C, Brusniak W, Ubl B, Wessa M, Flor H: A meta-analysis of neurofunctional imaging studies of emotion and cognition in major depression. NeuroImage 2012, 61:677-685.
  • [18]Kurth F, Zilles K, Fox PT, Laird AR, Eickhoff SB: A link between the systems: functional differentiation and integration within the human insula revealed by meta-analysis. Brain Struct Funct 2010, 214:519-534.
  • [19]Caspers S, Zilles K, Laird AR, Eickhoff SB: ALE meta-analysis of action observation and imitation in the human brain. NeuroImage 2010, 50:1148-1167.
  • [20]Neumann J, von Cramon DY, Lohmann G: Model-based clustering of meta-analytic functional imaging data. Hum Brain Mapp 2008, 29:177-192.
  • [21]Poline JB, Worsley KJ, Evans AC, Friston KJ: Combining spatial extent and peak intensity to test for activations in functional imaging. NeuroImage 1997, 5:83-96.
  • [22]Cauda F, Geda E, Sacco K, D'Agata F, Duca S, Geminiani G, Keller R: Grey matter abnormality in autism spectrum disorder: an activation likelihood estimation meta-analysis study. J Neurol Neurosurg Psychiatr 2011, 82:1304-1313.
  • [23]Saxena S, Brody AL, Ho ML, Alborzian S, Ho MK, Maidment KM, Huang S-C, Wu H-M, Au SC, Baxter LR Jr: Cerebral metabolism in major depression and obsessive-compulsive disorder occurring separately and concurrently. Biol Psychiatr 2001, 50:159-170.
  • [24]Brody AL, Saxena S, Stoessel P, Gillies LA, Fairbanks LA, Alborzian S, Phelps ME, Huang SC, Wu HM, Ho ML, Ho MK, Au SC, Maidment K, Baxter LR Jr: Regional brain metabolic changes in patients with major depression treated with either paroxetine or interpersonal therapy: preliminary findings. Arch Gen Psychiatry 2001, 58:631-640.
  • [25]Kennedy SH, Evans KR, Kruger S, Mayberg HS, Meyer JH, McCann S, Arifuzzman AI, Houle S, Vaccarino FJ: Changes in regional brain glucose metabolism measured with positron emission tomography after paroxetine treatment of major depression. Am J Psychiatr 2001, 158:899-905.
  • [26]Kegeles LS, Malone KM, Slifstein M, Ellis SP, Xanthopoulos E, Keilp JG, Campbell C, Oquendo M, Van Heertum RL, Mann JJ: Response of cortical metabolic deficits to serotonergic challenge in familial mood disorders. Am J Psychiatr 2003, 160:76-82.
  • [27]Zhang Xuanhong JK, Zuo C, Cao Q, Zhao J: The analysis of regional cerebral metabolic rate of glucose in major depressive disorder with statistical parametric mapping method. Shanghai Arch Psychiatry 2005, 17:1-5.
  • [28]Aihara M, Ida I, Yuuki N, Oshima A, Kumano H, Takahashi K, Fukuda M, Oriuchi N, Endo K, Matsuda H, Mikuni M: HPA axis dysfunction in unmedicated major depressive disorder and its normalization by pharmacotherapy correlates with alteration of neural activity in prefrontal cortex and limbic/paralimbic regions. Psychiatry Res 2007, 155:245-256.
  • [29]Smith GS, Kramer E, Ma Y, Kingsley P, Dhawan V, Chaly T, Eidelberg D: The functional neuroanatomy of geriatric depression. Int J Geriatr Psychiatry 2009, 24:798-808.
  • [30]WU Zhiguo FY, Bin XIE, Xiaoguang SUN, Mingle SI, Liangron WAN, Jun CHEN, Chengmei YUAN: Regional cerebral glucose metabolic abnormalities in treatment-resistant depression: a preliminary study. Chinese J Nerv Ment Dis 2009, 35:261-264.
  • [31]Wiebking C, Bauer A, de Greck M, Duncan NW, Tempelmann C, Northoff G: Abnormal body perception and neural activity in the insula in depression: an fMRI study of the depressed "material me". World J Biol Psychiatr 2010, 11:538-549.
  • [32]Savitz J, Nugent AC, Cannon DM, Carlson PJ, Davis R, Neumeister A, Rallis-Frutos D, Fromm S, Herscovitch P, Drevets WC: Effects of arterial cannulation stress on regional cerebral blood flow in major depressive disorder. Sci Rep 2012, 2:308.
  • [33]Martin SD, Martin E, Rai SS, Richardson MA, Royall R: Brain blood flow changes in depressed patients treated with interpersonal psychotherapy or venlafaxine hydrochloride: preliminary findings. Arch Gen Psychiatr 2001, 58:641-648.
  • [34]Lai C-H, Hsu Y-Y, Wu Y-T: First episode drug-naïve major depressive disorder with panic disorder: Gray matter deficits in limbic and default network structures. Eur Neuropsychopharmacol 2010, 20:676-682.
  • [35]van Tol MJ, van der Wee NJ, van den Heuvel OA, Nielen MM, Demenescu LR, Aleman A, Renken R, van Buchem MA, Zitman FG, Veltman DJ: Regional brain volume in depression and anxiety disorders. Arch Gen Psychiatry 2010, 67:1002-1011.
  • [36]Beauregard M: Mind does really matter: Evidence from neuroimaging studies of emotional self-regulation, psychotherapy, and placebo effect. Prog Neurobiol 2007, 81:218-236.
  • [37]Greicius MD, Flores BH, Menon V, Glover GH, Solvason HB, Kenna H, Reiss AL, Schatzberg AF: Resting-State Functional Connectivity in Major Depression: Abnormally Increased Contributions from Subgenual Cingulate Cortex and Thalamus. Biol Psychiatr 2007, 62:429-437.
  • [38]Hwang JP, Lee TW, Tsai SJ, Chen TJ, Yang CH, Lirng JF, Tsai CF: Cortical and subcortical abnormalities in late-onset depression with history of suicide attempts investigated with MRI and voxel-based morphometry. J Geriatr Psychiatr Neurol 2010, 23:171-184.
  • [39]Desmond JE, Chen SH, Shieh PB: Cerebellar transcranial magnetic stimulation impairs verbal working memory. Ann Neurol 2005, 58:553-560.
  • [40]Stuhrmann A, Suslow T, Dannlowski U: Facial emotion processing in major depression: a systematic review of neuroimaging findings. Biol Mood Anxiety Disord 2011, 1:10. BioMed Central Full Text
  • [41]Baldacara L, Borgio JG, Lacerda AL, Jackowski AP: Cerebellum and psychiatric disorders. Rev Bras Psiquiatr 2008, 30:281-289.
  • [42]Luna B, Minshew NJ, Garver KE, Lazar NA, Thulborn KR, Eddy WF, Sweeney JA: Neocortical system abnormalities in autism. Neurology 2002, 59:834-840.
  • [43]Newberg A, Monti D, Moss A, Alavi A: Positron emission tomography in neurological and psychiatric disorders. Int J Imaging Syst Technol 2012, 22:2-17.
  • [44]Naylor CD: Meta-analysis and the meta-epidemiology of clinical research. BMJ (Clinical research ed) 1997, 315:617-619.
  • [45]Turner EH, Matthews AM, Linardatos E, Tell RA, Rosenthal R: Selective publication of antidepressant trials and its influence on apparent efficacy. New Engl J Med 2008, 358:252-260.
  • [46]Laird AR, Fox PM, Price CJ, Glahn DC, Uecker AM, Lancaster JL, Turkeltaub PE, Kochunov P, Fox PT: ALE meta-analysis: controlling the false discovery rate and performing statistical contrasts. Hum Brain Mapp 2005, 25:155-164.
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